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Identifying Anomalies in past en-route Trajectories with Clustering and Anomaly Detection Methods
Detecting Controllers’ Actions in Past Mode S Data by Autoencoder-Based Anomaly Detection
Quantitative Assessments of Runway Excursion Precursors using Mode S data
Analysing in-flight emergencies using big data
Metadata
Data exploration
Cabin depressurisation
Dumping fuel to reduce landing weight
Landing attempts
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Analysing in-flight emergencies using big data
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